Research on Optimal Allocation of Civic Education Resources in Civil Engineering Disciplines Based on Mathematical Planning Methods
Abstract
In order to better cultivate talents in the new era, it is necessary to strengthen the resource allocation of higher education's Civic and Political Education, so that educators and educated people subconsciously strengthen the cognition of the importance of Civic and Political Education. In this paper, the DEA-BCC model is selected to statically analyze the resource allocation efficiency of higher Civic and Political Education through the static perspective, using the data envelopment analysis method. Combined with Malmquist index and Dagum index, it evaluates the temporal and spatial differences in the allocation efficiency of Civic and Political education resources from a dynamic perspective. Civic and political courses of higher civil engineering majors are selected as assessment objects to construct civil engineering civic and political education resources and evaluate the effectiveness of civic and political resource allocation for civil engineering major courses. Among the 31 provinces in China, the comprehensive efficiency scores of Tianjin, Inner Mongolia, Jilin, Heilongjiang, Zhejiang, Fujian, Hubei, Hainan, and Tibet are 0.914, 0.988, 0.903, 0.845, 0.984, 0.948, 0.936, 0.826, and 0.965, respectively, which are lower than 1, indicating that there is some degree of resource allocation degree of inefficiency in resource allocation. Taking 2012 as the base period, then the efficiency gap in China's higher education resource allocation will decrease by 3.671% per year in 2023, and the spatial gap in China's higher education investment efficiency is shrinking.
Fields of Study & Subjects
Efficiency Analysis Using DEA
Ideological and Political Education
Education and Public Policy
Publication details
- Journal / source
- International Journal of Computer Information Systems and Industrial Management Applications
- Volume
- 18
- Pages
- 18–18
- Publication date
- 8 January 2026
- Language
- EN